Insight through data quality

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Dan Ortega, Vice President Marketing, Blazent Inc.   /   ,

Five Steps to Improve Business Insight Through Data Quality   Organizations generate phenomenal amounts of data every day. To avoid being inundated and to leverage the full potential of what enters their business continuously, organizations must have a clear strategy for leveraging their data. New technology innovations...

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Seven Characteristics That Define Quality Data

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Dan Ortega, Vice President Marketing, Blazent Inc.   /  

While many organizations boast of having good data or improving the quality of their data, the real challenge is defining what those qualities represent. What some consider good quality others might view as poor. Judging the quality of data requires an examination of its characteristics...

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Top 5 Benefits of good data quality

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Pradeep Bhanot   /  

When considering the business value of good data quality, the primary purpose is to make a business more efficient and profitable. The 451 Group research that tabulated the top 5 benefits below included other downstream benefits, such as “better supplier performance” and “more informed decision...

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The dimensions of data quality: completeness and duplication

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Dan Ortega, Vice President Marketing, Blazent Inc.   /  

3rd of a 4-part series   A preceding blog provided an overview of the operational dimensions that are normally associated with data quality. To recap, these are:   Integrity Accuracy Completeness Duplication Currency Consistency   This blog post will focus on data completeness and duplication.   Data completeness (or coverage)   Data completeness is intuitive. If a server is on...

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Top 5 Causes of poor data quality

Marketing concept: Painted blue word Quality on Digital Data Paper background
Pradeep Bhanot   /  

451 Research recently released a report titled, “The State of Enterprise Data Quality: 2016, The Role of DQM in Machine Learning and Predictive Analysis.” Its authors are Carl Lehmann, Krishna Roy and Bob Winter. A key finding from their survey of hundreds of IT Professionals...

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Five Data Quality Imperatives for Managing Your Application Portfolio

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Pradeep Bhanot   /  

As the rate of growth in the number of applications that organizations manage continues to accelerate, the importance of managing the application portfolio is becoming increasingly important. Excellent data quality provides the foundation for effectively managing proliferation.   The five key imperatives are:   Attaining accurate asset counts: To calculate...

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Data Management and Data Quality

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Pradeep Bhanot   /   ,

Like every other aspect of digital management, data management continues to evolve. Early pre-relational mainframe systems, such as IMS, VSAM and IDMS, placed little emphasis on data quality. These hierarchical, key-indexed and linked-list databases are very prone to application failures due to unexpected data.   Relational databases...

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